Executive summary

In this report the main purpose is to address the statistical analysis of some dataset from World Bank. Here I have studied Life expectancy at birth, total (years), CO2 emissions (metric tons per capita), Health expenditure per capita (current US$), GDP growth (annual %), and Mobile cellular subscriptions (per 100 people). I have demonstrate mean, median, and standard deviation. I have put some comment on each demonstration for better understanding. I have used assume or arbitrary variables from the dataset so that calculation can be done easily and fast. For all calculation I have used the year 2010.

Furthermore, I have discussed coefficient of correlation of the life expectancy. For that I have used the year 2010 and 2011. I have shown all calculation in the appendices. I have developed some argument based on these result. Some factors are shown in this argument regarding all task. I have also emphasized some limitation for which data result may vary. These argument and limitation may differ in context to the difference variables and sample from the population.

Finally, in the conclusion part I have focused on overall analysis and put some factors that should be taken in mind while calculation data. I have also demonstrate relation among all these dataset. I have recommended some procedures and instruction which should be followed for further achievement in the national economy.